Feature Normalization
See original GitHub issueI would like to add a threshold to the feature normalization.
Explanation taken from here: https://www.audiolabs-erlangen.de/content/resources/MIR/chromatoolbox/2011_MuellerEwert_ChromaToolbox_ISMIR.pdf
To avoid random energy distributions occurring during pas- sages of very low energy (e. g., passages of silence before the actual start of the recording or during long pauses), we replace a chroma vector x by the uniform vector of norm one in case |x|p falls below a certain threshold…
Anyone against adding a this parameter to the normalize()
function?
Issue Analytics
- State:
- Created 7 years ago
- Comments:6 (6 by maintainers)
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Top GitHub Comments
Agreed. I think we’ll want to change the api to reverse the interpretation of axes.
Implemented as #471